###################################################################
# If you used Vina-GPU in your work, please cite:                 #
#                                                                 #
# Tang, S.; Chen, R.; Lin, M.; Lin, Q.; Zhu, Y.; Ding, J.; Hu, H.;#
# Ling, M.; Wu, J. Accelerating AutoDock Vina with GPUs.          #
# Molecules 2022, 27, 3041.                                       #
# https://doi.org/10.3390/molecules27093041                       #
#                                                                 #
# And also the origin AutoDock Vina paper:                        #
# O. Trott, A. J. Olson,                                          #
# AutoDock Vina: improving the speed and accuracy of docking      #
# with a new scoring function, efficient optimization and         #
# multithreading, Journal of Computational Chemistry 31 (2010)    #
# 455-461                                                         #
#                                                                 #
# DOI 10.1002/jcc.21334                                           #
#                                                                 #
###################################################################

WARNING: The search space volume > 27000 Angstrom^3 (See FAQ)
Reading input ... done.
Setting up the scoring function ... done.
Analyzing the binding site ... done.
Using random seed: 701967124
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.2      0.000      0.000
   2         -6.8     16.847     22.554
   3         -6.8      5.877     14.440
   4         -6.7     14.732     20.809
   5         -6.7      3.918     10.308
   6         -6.7      7.127     12.937
   7         -6.7      4.893     11.112
   8         -6.6     17.186     21.849
   9         -6.6     14.065     20.877
  10         -6.6     15.734     21.935
  11         -6.6      2.880     11.551
  12         -6.6      2.340      4.841
  13         -6.5      5.740     14.072
  14         -6.5     15.482     22.445
  15         -6.5      6.388     13.813
  16         -6.5      3.414      9.395
  17         -6.4     19.093     24.968
  18         -6.4      5.529     13.467
  19         -6.4      7.016     13.231
  20         -6.3     15.364     20.407
Writing output ... done.